Bassam vs Bouaké: result 2-1 and analysis
Ligue 1Regular Season - 10Kick-off on November 10, 2018 at 06:00 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of Bassam vs Bouaké?
Bassam won 2-1 on November 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bassam have 4 wins, 5 draws and 6 defeats; Bouaké have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Tanda(home) | 0-2 | Ligue 1 |
| Oct 27, 2018 | Lys Sassandra(home) | 1-1 | Ligue 1 |
| Oct 21, 2018 | Moossou(away) | 0-0 | Ligue 1 |
| Oct 18, 2018 | AFAD(away) | 2-0 | Ligue 1 |
| Oct 6, 2018 | Racing d'Abidjan(away) | 0-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Africa Sports(away) | 2-2 | Ligue 1 |
| Oct 27, 2018 | San-Pédro(away) | 0-0 | Ligue 1 |
| Oct 21, 2018 | AFAD(home) | 1-0 | Ligue 1 |
| Oct 17, 2018 | SOA(home) | 1-2 | Ligue 1 |
| Oct 6, 2018 | WAC(away) | 2-1 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Bassam wins, 0 draws, 2 Bouaké wins.
| Date | Score | Competition |
|---|---|---|
| Mar 11, 2018 | Bouaké 3-0 Bassam | Ligue 1 |
| Nov 3, 2017 | Bassam 1-2 Bouaké | Ligue 1 |
How many goals should we expect?
Bassam score 1.1 and concede 1.3 goals per match over their last 15; Bouaké score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bassam | 1.1 | 1.3 | 5 | 7/15 | 6/15 |
| Bouaké | 1.1 | 1.3 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Bouaké | 3 | 1 | 0 | 2 | 2 | 5 | 3 |
A question about Bassam vs Bouaké?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy